We have twelve papers accepted to the European Conference on Computer Vision (ECCV) 2024. The papers are
“Towards Real-world Event-guided Low-light Video Enhancement and Deblurring” by Taewoo Kim, Jaeseok Jeong, Hoonhee Cho, Yuhwan Jeong, and Kuk-Jin Yoon,
“Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation” by Hoyong Kwon, Jaeseok Jeong, Sung-Hoon Yoon, and Kuk-Jin Yoon,
“Temporal Event Stereo via Joint Learning with Stereoscopic Flow” by Hoonhee Cho*, Jae-Young Kang*, and Kuk-Jin Yoon,
“Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras” by Hoonhee Cho*, Sung-Hoon Yoon*, Hyeokjun Kweon*, and Kuk-Jin Yoon,
“Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks” by Hunmin Yang, Jongoh Jeong, and Kuk-Jin Yoon,
“Diffusion-Guided Weakly Supervised Semantic Segmentation” by Sung-Hoon Yoon, Hoyong Kwon*, Jaeseok Jeong*, Daehee Park, and Kuk-Jin Yoon,
“On-the-fly Category Discovery for LiDAR Semantic Segmentation” by Hyeonseong Kim*, Sung-Hoon Yoon*, Minseok Kim, and Kuk-Jin Yoon,
“Syn-to-Real Domain Adaptation for Point Cloud Completion via Part-based Approach” by Yunseo Yang*, Jihun Kim*, and Kuk-Jin Yoon,
“CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring” by Taewoo Kim*, Hoonhee Cho*, and Kuk-Jin Yoon,
“GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer” by Youngho Yoon*, Hyun-Kurl Jang*, and Kuk-Jin Yoon,
“LiDAR-based All-weather 3D Object Detection via Prompting and Distilling 4D Radar” by Yujeong Chae, Hyeonseong Kim, Changgyoon Oh, Minseok Kim, and Kuk-Jin Yoon,
“Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translation” by Yuhwan Jeong*, Hoonhee Cho*, and Kuk-Jin Yoon.
* denote the equal contribution.